气候变化领域集成服务门户(CCPortal): A bayesian inference procedure based on inverse dispersion modelling for source term estimation in built-up environments

CCPortal

DOI	10.1016/j.atmosenv.2020.117733
	A bayesian inference procedure based on inverse dispersion modelling for source term estimation in built-up environments
	Septier F.; Armand P.; Duchenne C.
发表日期	2020
ISSN	13522310
卷号	242
英文摘要	In atmospheric physics, reconstructing a pollution source is a challenging and important question. It provides better input parameters to dispersion models, and gives useful information to first-responder teams in case of an accidental toxic release. Various methods already exist, but using them requires an important amount of computational resources, especially when the accuracy of the dispersion model increases which is necessary in complex built-up environments. In this paper, a Bayesian probabilistic approach to estimate the location and the temporal emission profile of a pointwise source is proposed. More precisely, an Adaptive Multiple Importance Sampling (AMIS) algorithm is considered and enhanced by an efficient use of a Lagrangian Particle Dispersion Model (LPDM) in backward mode. Twin experiments empirically demonstrate the efficiency of the proposed inference strategy in very complex cases. © 2020 Elsevier Ltd
英文关键词	Bayesian inference; Inverse dispersion model; Monte Carlo; STE
语种	英语
scopus关键词	Bayesian networks; Geophysics; Inference engines; Inverse problems; Atmospheric physics; Bayesian inference procedure; Computational resources; Dispersion modeling; Inverse-dispersion; Lagrangian particle dispersion model; Probabilistic approaches; Source term estimation; Importance sampling; Bayesian analysis; dispersion; estimation method; experimental study; modeling; pollutant source; adult; algorithm; article
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144933
作者单位	Université Bretagne Sud, LMBA UMR CNRS 6205, Vannes, F-56000, France; CEA, DAM, DIF, Arpajon, F-91297, France
推荐引用方式 GB/T 7714	Septier F.,Armand P.,Duchenne C.. A bayesian inference procedure based on inverse dispersion modelling for source term estimation in built-up environments[J],2020,242.
APA	Septier F.,Armand P.,&Duchenne C..(2020).A bayesian inference procedure based on inverse dispersion modelling for source term estimation in built-up environments.Atmospheric Environment,242.
MLA	Septier F.,et al."A bayesian inference procedure based on inverse dispersion modelling for source term estimation in built-up environments".Atmospheric Environment 242(2020).